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Hello there

I'm Temitope O. Benson πŸ‘‹

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A PhD Candidate in Computational Data-Enabled Science and Engineering at the University at Buffalo, the State University of New York.

About me πŸš€

I'm a Mathematician, Data Scientist, and Computational Biologist. My work evolves developing mathematical models, machine learning models, customer and marketing analytics. I have more than 8 years of experience working as a data scientist, mathematician, and learning & development consultant in banking, consulting, marketing, technology, and academia.

I have a strong background in mathematics, machine learning, data science, spatial analysis, and statistics with experience in the payment technology industry, financial industry, Information technology, US goverment national laboratory, and academia. I am currently a data scientist and technology training manager at the leading payment industry company in the United States. Also, I am very open to research collaboration in Artificial Intelligence, mathematical modeling, and computational biology.

How to reach me:

πŸ“« [email protected]

Skills

  • πŸ‘¨β€πŸ’» Python, SQL, MatLab, C++, Snowflakes, AWS, Azure, GIT

Temitope O. Benson's Projects

adaptive icon adaptive

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

adbench icon adbench

Official Implement of "ADBench: Anomaly Detection Benchmark".

adventures-in-financial-data-science icon adventures-in-financial-data-science

Here I am collecting the scripts I have used to prepare my book "Adventures in Financial Data Science." These are mostly written for the RATS time-series analysis system, which is commercial software.

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example πŸ““ Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

applied-ml icon applied-ml

πŸ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

attentiongan icon attentiongan

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

awesome-quant icon awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

azure-openai-llm-vector-langchain icon azure-openai-llm-vector-langchain

"Awesome-LLM: a curated list of Azure OpenAI & Large Language Models" πŸ”ŽReferences to Azure OpenAI, πŸ¦™Large Language Models, and related 🌌 services and πŸŽ‹libraries.

babies icon babies

In this exercise we analyze baby name popularity over the years using Python's popular pandas data science module.

beenestabm icon beenestabm

Agent-based model of spatiotemporal distribution of bumblebees in nests

best-of-ml-python icon best-of-ml-python

πŸ† A ranked list of awesome machine learning Python libraries. Updated weekly.

bwgan icon bwgan

Code for the paper "Banach Wasserstein GAN"

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